Senior Data Engineer

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore).

Location: Gurgaon/Pune/Hyderabad/Bengaluru/ChennaiWork Mode:

Hybrid (2-3 days office in a week)

1. 5-14 Years of in Big Data & Data related technology experience
2. Expert level understanding of distributed computing principles

3. Expert level knowledge and experience in Apache Spark

4. Hands on programming with Python

5. Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
6. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
7. Good understanding of SQL queries, joins, stored procedures, relational schemas
8. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
9. Knowledge of ETL techniques and frameworks
10. Performance tuning of Spark Jobs

11. Experience with native Cloud data services AWS

12. Ability to lead a team efficiently
13. Experience with designing and implementing Big data solutions
14. Experince with

    Databricks

WE OFFER

1. Opportunity to work on technical challenges that may impact across geographies
2. Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
3. Opportunity to share your ideas on international platforms
4. Sponsored Tech Talks & Hackathons
5. Possibility to relocate to any EPAM office for short and long-term projects
6. Focused individual development
7. Benefit package:

•         Health benefits, Medical Benefits•         Retirement benefits•         Paid time off•         Flexible benefits

1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc